Guru: What It Actually Does, What It Costs, and Who It Fits
Guru is an AI-powered knowledge management platform built around verified, curated knowledge cards, with an expert-verification workflow, a browser extension, and Slack and Microsoft Teams integration, aimed at teams that want trustworthy, governed answers rather than raw AI search.
Guru is the right pick for a team that cares more about trusting the answer than about search reach alone: its core idea is the knowledge card, a short piece of content a subject-matter expert authors, verifies, and periodically re-confirms is still accurate, surfaced through a browser extension and native Slack and Microsoft Teams integrations. It is a weaker fit for an organization that wants to point an AI assistant at every system it owns and get broad coverage with no curation effort, since Guru's trust model depends on someone maintaining those cards. Third-party pricing trackers put the self-serve plan at roughly $25 to $30 per seat per month with a seat minimum (commonly reported around 10 seats, putting the practical floor near $250 to $300 per month), plus a custom-quoted Enterprise tier, current as of 2026, and reports disagree on whether a genuinely permanent free tier currently exists, so confirm directly with Guru before budgeting.
What Guru Is For
Guru is a knowledge management platform built around the idea that an AI answer is only useful if someone can trust it. Instead of indexing raw documents and chat history the way a broad enterprise search tool does, Guru organizes knowledge into cards, short, structured pieces of content that a subject-matter expert writes, verifies as accurate, and is prompted to periodically re-confirm through a Verification Score that tracks what percentage of the team's cards are current versus stale. Knowledge Agents sit on top of that verified content and can answer questions automatically inside Slack and Microsoft Teams, with no slash command required, while a browser extension (available for Chrome, Edge, and Opera) surfaces the same verified answers as a persistent side panel without making someone leave the app they're already working in.
That design makes Guru a better fit for teams where getting a wrong answer has real consequences, support, customer success, sales, and onboarding are the classic use cases, and where a human expert is willing to own accuracy for a defined set of topics. It is a different bet than a platform that connects broadly across dozens of systems and lets AI surface whatever it finds: Guru trades some of that raw coverage for a governance layer that tells the reader (and the AI) which answers have actually been checked by a person who would know.
Key Features
- Knowledge cards: short, structured, author-owned pieces of knowledge rather than raw indexed documents or chat threads
- Verification workflow and Verification Score: subject-matter experts confirm a card is accurate and are prompted to periodically re-verify it, with a visible score tracking verified versus stale content
- Knowledge Agents in Slack and Microsoft Teams that automatically detect and answer questions in channels, plus on-demand @mention answers and thread follow-ups
- Browser extension (Chrome, Edge, Opera) that surfaces verified Guru answers as a persistent side panel inside whatever app or site someone is already using
- Capture tools that turn conversations (Slack threads, calls, tickets) into draft knowledge cards for an expert to review and verify
- Enterprise-tier governance controls including SSO, SCIM, role-based access, and compliance certifications (SOC 2 Type II, with HIPAA and GxP reported on higher tiers)
Pros & Cons
Pros
- ✔ The verification workflow gives teams a concrete, visible way to know which answers have actually been checked by a human expert, not just generated or indexed
- ✔ Browser extension and native Slack and Microsoft Teams integration put verified answers directly in the tools people already work in, without a separate search step
- ✔ Capture tools make it easier to turn real conversations into reviewable knowledge instead of relying on someone writing documentation from scratch
Cons
- ✕ Pricing reported across third-party sources is inconsistent, and whether a genuinely permanent free plan currently exists is unclear, so confirm current terms directly with Guru
- ✕ The trust model depends on experts actually doing the verification work; an unmaintained card set undercuts the entire value proposition
- ✕ Narrower connector and raw-search breadth than a platform built to index dozens of systems at once, since Guru's core unit is the curated card rather than the whole document corpus
- ✕ A reported 10-seat minimum on the self-serve plan puts a practical price floor around $250-300/month even for very small teams
Pricing
| Tier | Price | What you get |
|---|---|---|
| Free trial | 30 days, no credit card reported as required | Full access to evaluate Knowledge Agents, verification workflows, and integrations before committing to a paid plan |
| Self-serve (All-in-One / Professional) | Roughly $25-30/seat/month billed annually, commonly with a 10-seat minimum | Knowledge cards, verification workflow and Verification Score, Slack and Microsoft Teams Knowledge Agents, and the browser extension |
| Enterprise | Custom quote, usage-based elements reported on some contracts | SSO, SCIM, role-based access controls, SOC 2 Type II and reported HIPAA/GxP compliance, and advanced Knowledge Agent capabilities |
Third-party pricing trackers disagree on exact figures and on whether a permanent free tier currently exists. Treat the numbers above as directional estimates, not a confirmed rate card.
Pricing checked as of late 2026 and hedged as approximate - Guru changes plan names and limits periodically, and third-party sources disagree on specifics, so confirm current figures directly on getguru.com before budgeting.
Related Tools & Comparisons
Common questions
Third-party sources disagree. Guru consistently offers a 30-day free trial of its paid plans, but reports conflict on whether a genuinely permanent free tier is currently available, with some pricing trackers showing one and others saying there is none. Confirm the current terms directly on getguru.com before assuming either way.
A knowledge card is a short, structured piece of content, typically answering one specific question or topic, that a subject-matter expert authors and verifies as accurate. Cards are the core unit Guru's Knowledge Agents draw on to answer questions, rather than Guru indexing raw documents the way a broad enterprise search tool would.
Experts mark a card as verified when they confirm it is accurate, and Guru prompts periodic re-verification so cards don't silently go stale. A Verification Score tracks the percentage of a team's cards that are currently verified versus unverified, giving a visible signal of how trustworthy the overall knowledge base is at any given time.
Yes. Once an admin connects the integration, Guru's Knowledge Agents can automatically detect and answer questions in channels with no slash command required, and users can also @mention Guru directly for on-demand answers, ask follow-up questions in threads, and capture new knowledge straight from the conversation.
Glean is built to index and search across dozens of connected systems with permissions-aware AI answers, aimed at large organizations that want broad coverage. Guru narrows the scope to curated, expert-verified knowledge cards with a governance layer built around trust and accuracy, which tends to fit teams, often support, success, or sales, where a human expert is willing to own and maintain a defined set of answers.
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